Deep learning-based three-dimensional segmentation of the prostate on computed tomography images
Author:
Affiliation:
1. University of Texas at Dallas, Department of Bioengineering, Dallas, Texas
2. Emory University School of Medicine, Department of Radiology and Imaging Science, Atlanta, Georgia
Publisher
SPIE-Intl Soc Optical Eng
Subject
Radiology, Nuclear Medicine and imaging
Reference29 articles.
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4. Combining population and patient-specific characteristics for prostate segmentation on 3D CT images
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